Air cleaning system
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Solution Overview
Problem
Existing air cleaning systems are ineffective in rapidly sensing and responding to local fine dust pollution, especially when the pollution source is remote from the air cleaner, leading to a significant time gap between dust generation and air purification.
Innovation Solution
An air cleaning system with remote sensor hubs that measure local dust concentrations and a controller that calculates averages, compares them to reference values, and adjusts the air blowing direction and intensity of circulators to provide concentrated purification in areas with high pollution levels, distinguishing between cooking and non-cooking pollution sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dust sensor is disposed in the air cleaner itself, then the air cleaner can sense fine dust near its location, but it takes a significant amount of time for the dust sensor to sense generation of fine dust or cannot sense generation of fine dust when the pollution source is at a remote position
Solution Approach 1:
The system divides the sensing function into multiple distributed sensor hubs located at different positions (kitchen, living room, bedroom) rather than relying on a single sensor in the air cleaner. This segmentation enables remote pollution detection while maintaining rapid response capability.
Solution Approach 2:
Remote sensor hubs act as intermediaries between the pollution source and the air cleaner. These sensor hubs detect dust at remote locations and transmit information to the air cleaner, enabling the air cleaner to respond to remote pollution sources without requiring physical proximity.
2Productivity
If the discharge direction of the air cleaner is oriented to a space where a human is present based on human body sensing, then air in the space can be quickly purified, but effectiveness cannot be sufficiently ensured when a pollution source generating fine dust is present at a position that is not related to the human active area or is present at a far distance
Solution Approach 1:
The system provides different air discharge strategies based on local pollution characteristics. When cooking pollution is detected, purified air is blown intensively to the kitchen area. When non-cooking pollution is detected, purified air is dispersed to multiple areas. This local quality approach optimizes purification effectiveness for different pollution scenarios.
Solution Approach 2:
The air discharge direction and intensity are dynamically adjusted based on real-time pollution detection. The circulator changes discharge directions to target specific polluted areas, and the discharge intensity varies according to pollution severity. This dynamic adaptation enables effective response to diverse pollution scenarios.
Data Source
AI summary
An air cleaning system can rapidly senses occurrence of local pollution, caused by fine dust, through a remote sensor hub and supplies purified air to a polluted area in a concentrated manner, thereby quickly purifying indoor air.